extract_stats_type

stats_type_switch

Relevant mostly for <code>{ggstatsplot}</code> and <code>{statsExpressions}</code> packages, where
different statistical approaches are supported via this argument: parametric,
non-parametric, robust, and Bayesian. This switch function converts strings
entered by users to a common pattern for convenience.

Utilities for producing dataframes with rich details for the
most common types of statistical approaches and tests: parametric,
nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation
analyses, contingency table analyses, and meta-analyses. The functions
are pipe-friendly and provide a consistent syntax to work with tidy
data. These dataframes additionally contain expressions with
statistical details, and can be used in graphing packages. This
package also forms the statistical processing backend for
'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.

Indrajeet Patil

statsExpressions

Tidy Dataframes and Expressions with Statistical Details

extract_stats_type function

<dl><dt>type</dt>
<dd>A character specifying the type of statistical approach:<ul>
<li><code>"parametric"</code></li>
<li><code>"nonparametric"</code></li>
<li><code>"robust"</code></li>
<li><code>"bayes"</code></li>
</ul></dd>You can specify just the initial letter.</dl>

Arguments

Switch the type of statistics. — extract_stats_type

<dl>

<dt>type</dt>
<dd>A character specifying the type of statistical approach:<ul>
<li><code>"parametric"</code></li>
<li><code>"nonparametric"</code></li>
<li><code>"robust"</code></li>
<li><code>"bayes"</code></li>
</ul>

You can specify just the initial letter.</dd>

</dl>

extract_stats_type: Switch the type of statistics.

Description

Usage

Arguments

Examples